Today we are announcing VEDO – an extension of our core platform that brings programmable intelligence to the masses. Building upon our incredibly rich text pre-processing and parsing capabilities, we have added a whole new engine that allows customers to take advantage of advances in machine learning, statistical models, rich taxonomies and much more all through a simple and unified approach. As with the rest of our platform, we want to reduce the cost of developing this kind of functionality for our customers and let them focus on innovation and not on infrastructure.

As a Big Data platform for social, we’re continually working on how we can extend the value of insights that companies can derive from social data. Today we’re excited to announce our resyndication partnership with bitly (you can read the full announcement here) – bringing the social clickstream into our platform and integrating it to enable entirely new ways to analyze and act on social data insights.

Your social listening, engagement, marketing, and customer support initiatives – and beyond them, a range of emerging, social-infused business processes (that is, every process that involves people) – require clean, complete, well-structured, and reliable social data. If you’re already a DataSift customer, you surely agree, but if you’re not yet convinced, poke around the DataSift site a bit and I’m sure you will come around.

Last week, we attended the Social Media Strategies Summit in San Francisco, where Rob Bailey, our CEO, discussed the seven measurable actions that further your company’s marketing and social media efforts. In addition to providing a framework for moving your company’s efforts from beginner to pro, Rob highlighted companies who are thinking strategically about social media, such as Taco Bell, Burberry and KFC.

Since announcing DataSift Historics earlier this year, we’ve been overwhelmed by the response and demand. From companies building social media monitoring tools, to finance firms building models for sentiment-based stock trading – the ability to build a big picture of the market from social Big Data is an important compass for companies that want to understand customers better and make smarter business decisions.

Earlier this month the Electronic Frontier Foundation published their annual study of the privacy policies for top Internet companies. Twitter was ranked with an impressive 3.5 stars out of 4, (one of the highest on the list), highlighting its work across four areas: openness with data demands, transparency regarding requests, whether or not they fight in court for users’ privacy requests and whether or not they do so in Congress.

With the recent news that our friends at Salesforce.com have signed an agreement with Twitter to access the full firehose of public Tweets, we thought we’d give an insight into what it’s like being on the receiving end of this torrent of data. And of course, we’re not just doing this for Tweets, we’re doing this processing for public Facebook posts, and across nearly a million blogs, forums and news sites.

At DataSift we are obsessed with making it easier for companies to access Social data, analyze it, and get value from it. This week we are proud to announce the launch of a new way to access/use the Social Data produced by the DataSift platform. Starting today, DataSift customers will have access to new Record and Export features, that allow even non-technical users to extract their social media data direct through our website into easy…

Haters Are Going To Hate…But They Aren’t Always Right Here at DataSift we are big fans of YouTube and really love the new UI they launched a few weeks ago. At the same time that our team was admiring the sleek new site design that You Tube had just launched, we noticed YouTube was taking a hammering from online commentators and press. It seemed like EVERYONE hated the new UI! Were the “haters” right that…

A new year and we are super excited about what is coming in 2011. Big data and real-time are hot topics and we feel that DataSift is ready to take on the challenge of assisting our customers with the problems of dealing with finding the right data and soon how to analyse it. So what did we do in 2010? DataSift was built as a platform for consumers and businesses to sift through the real-time…